Authors:
Anton Timofieiev
;
Václav Snásěl
and
Jiří Dvorský
Affiliation:
VŠB - Technical University of Ostrava, Czech Republic
Keyword(s):
Social networks, graph theory, Enron corpus, H-Index, graph clustering.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Business Analytics
;
Communication and Software Technologies and Architectures
;
Data Engineering
;
Data Warehouses and Data Mining
;
e-Business
;
Enterprise Information Systems
;
Information Retrieval
;
Ontologies and the Semantic Web
;
Pattern Recognition
;
Software Engineering
Abstract:
Development of modern technologies is expanded with communications possibilities. Electronic systems of communications make possible overcoming traditional barriers of communication, for example, such as distance. On their basis there are new types of communities which any more have no geographical restrictions. Increasing popularity of electronic communities among which projects LiveJournal, LiveInternet, and also projects popular in Russian-speaking part Internet Mamba, MirTesen, VKontakte, Odnoklassniki, etc., makes as never earlier actual questions on working out of techniques of research of similar social networks. However communications of members of such communities only by means of electronic communications create difficulties at definition of such communities. In this paper we describe method for measurement of the importance of particular people within the community. The method is based on h-index calculation. Approach is demonstrated on Enron corpus.